Analysis of Regulatory Policy in the Context of Sustainable Development of Eastern European Countries
Bibliographic record
Abstract
The purpose of the article is to study the peculiarities of the implementation of regulatory policy on the example of Eastern European countries in the context of sustainable development. The methodological basis of the study is a comprehensive approach to the improvement of the methodology for determining the system of integral indicators of the implementation of the regulatory policy of economic development through the statistical analysis of the determination of the indicators of international ratings of the business environment and the assessment of the determining integral indicators of the regulatory policy according to the criterion of sustainable development. Completing the calculations of the proposed stages of the study made it possible to rank the countries selected for analysis. The article examines the factors of sustainable development of countries that generate a set of indicators of the factor load of the system of economic, social, innovative and infrastructural components based on the results of the implementation of the regulatory policy of the studied countries. The system of directions and measures for increasing efficiency, as well as improving the regulatory policy, which are expedient to implement in order to create conditions for the sustainable development of research objects, are substantiated. Based on the results of the research, it was established that the defining directions of improving regulatory policy in the context of sustainable development of Eastern European countries at the current stage are: increasing competitiveness, increasing economic activity of economic entities, improving public administration and regulatory tools. The proposed measures are aimed at improving the effectiveness of regulatory policy implementation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".